Towards a more reliable historical reanalysis: Improvements for version 3 of the Twentieth Century Reanalysis system

Autore
L.C. Slivinski
G.P. Compo
J.S. Whitaker
P.D. Sardeshmukh
B.S. Giese
C. McColl
R. Allan
X. Yin
R. Vose
H. Titchner
J. Kennedy
L.J. Spencer
L. Ashcroft
S. Brönnimann
M. Brunet
D. Camuffo
R. Cornes
T.A. Cram
R. Crouthamel
F. Domínguez-Castro
J.E. Freeman
J. Gergis
E. Hawkins
P.D. Jones
S. Jourdain
A. Kaplan
H. Kubota
F.L. Blancq
T.-C. Lee
A. Lorrey
J. Luterbacher
M. Maugeri
C.J. Mock
G.W.K. Moore
R. Przybylak
C. Pudmenzky
C. Reason
V.C. Slonosky
C.A. Smith
B. Tinz
B. Trewin
M.A. Valente
X.L. Wang
C. Wilkinson
K. Wood
P. Wyszyński
Parole chiave
Sea level
20CRv3
data assimilation
Data assimilation methods
National Oceanic and Atmospheric Administration
Reanalysis
Spatial and temporal scale
Surface pressures
U.S. Department of Energy
Uncertainty analysis
climate change
climate modeling
data assimilation
ensemble forecasting
extreme event
historical perspective
reliability analysis
spatiotemporal analysis
surface pressure
trend analysis
twentieth century
Year of Publication
2019
Journal
Quarterly Journal of the Royal Meteorological Society
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071142011&doi=10.1002%2fqj.3598&partnerID=40&md5=c6cb420367e4598fc1d64f5bbccaafba
DOI
10.1002/qj.3598